Home / Journals / Mathematics & Statistics / International Journal of Statistics and Actuarial Science
Vol. 1, Issue 4, November 2017
Frequency: Quarterly
International Journal of Statistics and Actuarial Science (IJSAS) aims at bringing into the light the domain of statistics and actuarial science which include date collection, types of date, terminology and theory of inferential statistics, history of statistics science, maching learning and date mining, pre-formalization, etc. Original articles across the whole scope and up-to-date review papers and case studies are welcomed to publish in this journal. The topics related to this journal include but are not limited to:
Data Collection
Experimental and Observational Studies
Types of Data
Terminology and Theory of Inferential Statistics
Statistics, Estimators and Pivotal Quantities
Null Hypothesis and Alternative Hypothesis
Interval Estimation
Misinterpretation: Correlation
History of Statistical Science
Machine Learning and Data Mining
Statistics Applied to Mathematics or the Arts
Early Actuaries
Actuarial Science Related to Modern Financial Economics
Actuaries in Criminal Justice
Categorical Data
Forensic Statistics
High-Dimensional Data Analysis
Financial Mathematics
Order Restricted Inference
Spatial Statistics
Statistical Analysis of Genomic Data
Statistical Computing
Editorial Board
Moyazzem Hossain
Department of Statistics, Jahangirnagar University
Savar, Dhaka, Bangladesh
Eralda Dhamo Gjika
Department of Applied Mathematic, Faculty of Natural Science, University of Tirana
Tirana, Albania
Farah Yasmeen
Department of Statistics, Karachi University
Karachi, Sind, Pakistan
Suhartono Suhartono
Department of Statistics, Institut Teknologi Sepuluh Nopember
Surabaya, Jawa Timur, Indonesia
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